Hospital Information Management Research Articles

Evaluation of non-traumatic intracranial hemorrhages as cause of cardiac arrest in emergency department

Aim: Cardiac arrests can be brought to emergency departments with an intervention from out-of hospital, and they can also occur for different reasons in the emergency department. Due to the high rates of mortality in this important clinical situation, regulations are made through guidelines and algorithms. Most of these regulations cover acute coronary syndromes and special conditions. The aim of our study is to evaluate intracranial hemorrhages in non-traumatic cardiac arrest cases in our emergency department for a period of 10 years.
 Material and method: The data of patients 18 years of age and over who were found to have cardiac arrest in the emergency department between January 2011 and January 2021, who did not have trauma, were retrospectively scanned from the hospital information management system. Demographic information of all patients, computed tomography examinations for intracranial hemorrhage and emergency department outcomes were evaluated.
 Results: Of the 173 patients included in the study, 81 (46.8%) were women. The median age of the patients was determined as 72.00 (64.00-80.00). In the whole patient group, 20 (11.6%) patients had intracranial bleeding and 10 of these patients were women. More intrcranial hemorrhage was detected in the group that underwent CT before cardiopulmonary resuscitation (CPR) and it was statistically significant (p

Effect of Evidence-Based Pharmacy Care on Satisfaction and Cognition in Patients with Non-Valvular Atrial Fibrillation Taking Rivaroxaban.

PurposeWe aimed to determine the effects of using evidence-based pharmacy care on satisfaction and cognition among patients with non-valvular atrial fibrillation (NVAF) and taking rivaroxaban.Patients and MethodsBetween July 2018 and June 2019, 200 consecutive hospitalized patients taking oral rivaroxaban, who were diagnosed with NVAF and registered in the hospital information management system, were randomly assigned to a control group (n=100) and a study group (n=100) in a single-blind manner. The control group received pharmaceutical care based on the general pharmaceutical care model whereas the study group received care based on an evidence-based pharmaceutical care model. Patients’ satisfaction and cognition were evaluated regularly using questionnaires. The follow-up time was 1 year. We compared differences in satisfaction and cognition between the two groups after pharmaceutical-related care administered by clinical pharmacists.ResultsThe study group had higher satisfaction scores than the control group after the EBP intervention (14.58±0.88 vs.13.81±1.01, p<0.01); cognition scores were also higher in the study group (22.58±2.19 vs 20.80±3.02, p<0.01) after the intervention. In the study group, satisfaction was increased from a score of 10.15±1.33 before the EBP intervention. Cognition also increased after the intervention in the study group, from a score of 9.88±4.09 pre-intervention. In the control group, satisfaction was 10.04±1.29 before the traditional pharmaceutical care intervention, smaller than the 13.81±1.01 after the intervention (p<0.01). Cognition in the control group was 9.83±3.51 before traditional pharmaceutical care, smaller than the 20.80±3.02 after the intervention (p<0.01).ConclusionThe care model based on evidence-based pharmacy care can improve patient satisfaction and cognition, providing more comprehensive safety and efficacy of subsequent medication.

Research on the Smart Medical System Based on NB-IoT Technology

In recent years, with the constant development and integration of Internet technology, Internet of Things technology, and intelligent terminal technology, to make people’s work and life more comfortable and convenient, these new technologies have been more and more widely used in daily home life such as social education, agricultural production, industrial production, medical, and other fields. However, at present, there are still a lot of room for development in the application of new technologies in the medical and health industry. Especially in the context of hospital information construction and medical difficulties, the functions of fixed information points such as traditional nurse stations and doctor stations no longer meet the growing medical needs of people. Therefore, how to introduce these new technologies and design to a practical and low-cost intelligent medical information management system that realizes the convenient management and efficient management of medical personnel has become a top priority. In view of the problems faced by the hospital, this paper proposes an intelligent medical plan based on NB-IoT technology and develops a smart hospital information management system. Test results indicate that patients can easily and conveniently register their appointments through the Android mobile client. Through checking medical records and hospital news updates, medical staff can more easily complete their work. Comparison results of performance variance between the common server and adaptive algorithm web server demonstrate that an adaptive load balancing algorithm can achieve a more accurate allocation of the load. Therefore, the web smart medical information management platform can manage hospitals more comprehensively.

PDCA cycle theory based avoidance of nursing staff intravenous drug bacterial infection using degree quantitative evaluation model

The purpose is to explore the positive role of PDCA (Plan, Do, Check, Act) cycle theory in the hospital information management system to avoid intravenous drug bacterial infection of nursing staff based 360-degree quantitative evaluation model. The research focus is to promote the rational application of intravenous drugs among nursing staff, and the application data of intravenous drug among nursing staff under the same background and different management schemes are selected as the research objects, which are divided into the PDCA cycle theory pre-intervention group and post-intervention group. Through the statistical comparison of the error data of medical advice and nursing work, the role of PDCA circulation theory intervention in promoting the rational application of intravenous drugs in nursing staff is analyzed. The work performance of nursing staff is managed through the application of 360-degree quantitative evaluation model. The results show that after the one-year PDCA cycle theoretical intervention, both the number of unreasonable medical advice and the rate of unreasonable medical advice show a decreasing trend, the rate of correction of medical advice of nursing staff increases from 54.5% to 87.8%, the overall incidence of nursing errors significantly decreases, and the difference is statistically significant (P < 0.05). Among them, nursing errors mainly referred to the situation of intravenous drug bacterial infection. Meanwhile, it is found that after the intervention of PDCA cycle theory, the working time of each link of nursing staff is significantly shortened and the working efficiency is significantly improved. The introduction of 360-degree evaluation thinking and quantitative evaluation theory and the construction of 360-degree quantitative evaluation model can evaluate the nursing performance scientifically.

MEASUREMENT OF THE EFFECTS OF BUSINESS INTELLIGENCE APPLICATIONS ON PERFORMANCE IN HOSPITALS ACCORDING TO THE MANAGERIAL LEVELS: A CHAIN HOSPITAL APPLICATION

MEASUREMENT OF THE EFFECTS OF BUSINESS INTELLIGENCE APPLICATIONS ON PERFORMANCE IN HOSPITALS ACCORDING TO THE MANAGERIAL LEVELS: A CHAIN HOSPITAL APPLICATION Mustafa IŞIK [1] Onur YARAR [2] Didem Söylemez SUR [3] ABSTRACT Problem of the Research: Hospitals are matrix and complex organizations with many areas of expertise. In hospitals, multi-modular and integrated systems that can have multiple software and databases provide support in the execution of business processes within this complex organizational structure. Getting the right data at the right time for decision support purposes is often an important problem. In overcoming these problems, the problem of the research is what the contribution of integrated business intelligence applications solutions can be in decision-making stages from all levels of management. Purpose of the research: This research was conducted to investigate the effect of business intelligence reporting practices on performance according to managerial levels in hospital management systems. The research is a study conducted to measure the effect of business intelligence practices on performance in a chain hospital group that uses business intelligence in connection with the ERP (Enterprise Resource Planning) system with the highest number of hospitals in Turkey. The questionnaire study was conducted on 383 people. In this context, BI (Business Intelligence) architecture has been examined with all its components and information has been given about the benefits it provides to the enterprises. In the application developed as an example, a data warehouse modeling in accordance with the information required by the top management in hospitals, preparation of analyses, creation of presentation layer and presentation of the prepared analyses and reports on the control table were carried out. Material &amp;Method: The universe of the research is composed of people who have the authority and access to use BI at MLP care group for this study. The number of authorized people on the ERP system was 591 and 65% of them have filled out the requested survey. 231 was our minimum number and for increasing the reliability we have modified our number of samples to 383. So 383 samples were reached to strengthen the validity and the reliability of the survey. In this sample range, it was also aimed to compare the performance impact between senior, intermediate and operational level managers. Conclusion: As a result of the research, it was determined that corporate business intelligence application screens at all types of managerial levels have a positive and significant effect on measurable performance indicators. In this context, when businesses monitor and control their operational activities through corporate business intelligence, it has been concluded that performance indicators provide less time loss, high reliability, integrated data, quality and accurate valuation advantages in the evaluation process. In the research, it was observed that the effect of performance results of operational managers' business intelligence applications from management levels was higher than that of senior and middle level managers. Keywords: Business Intelligence, Big Data, Corporate Performance Management, Hospital Information Management Systems, Data Analysis [1] Mustafa IŞIK, Asst. Prof. İstinye University Faculty of Economics, Administrative and Social Sciences, Department of Health Management/ mustafa.isik@mlpcare.com [2] Onur YARAR, Asst. Prof. Okan University, Healthcare Management, Turkey / onur.yarar@okan.edu.tr [3] Didem Söylemez SUR, Asst. Prof. Kent University, Healthcare Management, Turkey /didem.sur@kent.edu.tr

Image Data Security Mechanism Based on the Internet of Things Cardiac Catheterization Laboratory Information Management System Research and Design.

With the development of science and technology, more and more operations are performed in the cardiac catheterization laboratory. During such operations, a lot of relevant imaging data need to be retained. These imaging data can be used for clinical and scientific research and teaching applications, but imaging data security has also become an increasingly important issue. This article is based on the Internet of Things cardiac catheterization laboratory information management system image data security mechanism system research. First of all, this article adopts the literature method to study the application research of the Internet of Things technology in the medical field, as well as the relevant medical imaging data security technology methods. Then, the medical image data security mechanism was designed, and the image data security model of the cardiac catheterization laboratory information management system based on the Internet of Things was established. Finally, the application of decentralized management of the Internet of Things RFID technology on medical equipment and the security of the application of this technology on medical imaging data are analyzed, and finally a conclusion is drawn. The image data security mechanism established in this article is based on the Internet of Things technology. The security rate of image information data reaches more than 95%, the information data security level reaches level 1, and the average data missing rate is only 4.7%. It is a brand-new breakthrough, hoping to further improve the efficiency of hospital information management and protect the safety of medical information.

ANALYSIS OF HOSPITAL INFORMATION MANAGEMENT SYSTEM USING HUMAN ORGANIZATION FIT MODEL

Background: Hospital is a health care institution that provides public services for patients. It needs computerized information technology, for example, a hospital information management system.Aims: This study was aimed at analyzing the implementation of hospital management information system using the human organization fit model at the Outpatient Department of Sabang General Hospital.Methods: This study was conducted from March-June 2020 using a cross sectional design. The study’s population was the hospital managers, administration staff and health workers at the hospital. The study’s sample size was 106 respondents selected using a purposive sampling. This study used a quantitative design in which the data analysis was done using a spearman correlation test with P-value of =&lt;0.05. The independent variables were the quality of system, quality of information, and quality of care. While the dependent variables included system user, user satisfaction and organization. The data were collected through questionnaire distributed to the respondents.Results: The quality of system did not have a relationship with the system user (P=0.585), user satisfaction (P=0.541), and organization (P=0.256). The quality of information had a relationship with the system user(P=0.004) and user satisfaction (P=0.000), but it did not have a relationship with organization (P=0.132). The quality of care had a relationship with the system user(P=0.000), user satisfaction (P=0.000) and organization (P=0.000).Conclusion: The Sabang General Hospital, Aceh, needs to improve the hospital management information system with the HOT-fit model, especially the quality of system. They can conduct training for users and provide applicable and attractive manuals.Keywords: hospital, information management system, quality of care, quality of information, quality of system.

Autonomous wheelchair for patient\u2019s transportation on healthcare institutions

The transport of patients from the inpatient service to the operating room is a recurrent task in a hospital routine. This task is repetitive, non-ergonomic, time consuming, and requires the labor of patient transporters. In this paper is presented a system, named Connected Driverless Wheelchair, that can receive transportation requests directly from the hospital information management system, pick up patients at their beds, navigate autonomously through different floors, avoid obstacles, communicate with elevators, and drop patients off at the designated operating room. As a result, a prototype capable of transporting patients autonomously in hospital environments was obtained. Although it was impossible to test the final developed system at the hospital as planned, due to the COVID-19 pandemic, the extensive tests conducted at the robotics laboratory facilities, and our previous experience in integrating mobile robots in hospitals, allowed to conclude that it is perfectly prepared for this integration to be carried out. The achieved results are relevant since this is a system that may be applied to support these types of tasks in the future, making the transport of patients more efficient (both from a cost and time perspective), without unpredictable delays and, in some cases, safer.

Study of E-business applications based on big data analysis in modern hospital health management

In the era of big data, aiming at the problem of health data acquisition and processing in modern hospital information management, this paper analyzes and realizes the auxiliary role of big data and e-business in modern hospital health management. Based on machine learning, this paper analyzes hospital health service systems and proposes a detailed management plan that changes the systems from fragmented hospital health management to comprehensive and omnidirectional hospital health management systems and from disordered market competition to comprehensive regionalization to help provide technical support for strengthening hospital health data management.

Effects of use of inotropic agents on ABO and RH blood groups in adult cardiac surgery

Objective:The objective of this study is to investigate the effects of use of inotropic agents on ABO and RH blood groups in adult cardiac surgery. Method: We retrospectively analyzed the hospital information management system records and files of patients who underwent CPB between June 15, 2017 and November 15, 2019.We evaluated the patients’ age, sex, blood group, diagnosis, use of fentanyl and demizolam in induction, CPB time, cross-clamp time, operation time, use of intraoperative and postoperative inotropic agents, postoperative intubation period, and day of intensive care hospitalization. Results:There was no difference between the ABO and RH blood groups in terms of use of fentanyl and demizolam in induction,CPB time, cross-clamp time, postoperative intubation time, day of intensive care hospitalization, and operation time. Postoperative dopamine use was higher in blood groups A, B, and O than its intraoperative use (p=0.001,p=0.014,p=0.001). Postoperative norepinephrine use was higher among A,B,and O blood groups than its intraoperative use (p=0.001,p=0.025,p=0.002). Postoperative nitroglycerin use was higher in blood group O than its intraoperative use (p=0.034).The use of postoperative dopamine, norepinephrine, and nitroglycerin was higher in the RH (+) group as compared to intraoperative use (p = 0.001,p=0.001,p=0.011). Postoperative norepinephrine use was higher in the RH (–) group than in its intraoperative use (0.004). The use of intraoperative nitroglycerin in the RH (+) group was higher as compared to the RH (–) group (p=0.042). Conclusion:Our study found that the use of inotropic agents was different in ABO and RH blood groups.

Risk factors associated with warfarin overdose and complications related to warfarin overdose in the emergency department

The aim of this study was to investigate risk factors of bleeding and mortality in patients with warfarin overdose (WOD). Totally, 783 patients were included, of which, 272 patients (34.7%) with an INR below 5,364 patients (46.5%) with an INR between 5–10, and 147 patients (18.8%) with an INR of 10 or above. Demographic, clinical, and laboratory findings of the patients were obtained from the Real Life Data Provision Center and Hospital Information Management System. Admittance in autumn (OR = 1.75; p = 0.012), INR = 5–10 (OR = 2.65; p < 0.001), INR ≥ 10 (OR = 9.06; p < 0.001), and antiplatelet use alongside warfarin (OR = 1.93; p < 0.001) were found to be independent risk factors for bleeding in this study. The age (OR= 1.03; p = 0.005), bleeding (OR = 1.69; p = 0.020), primary hypertension (OR = 1.72; p = 0.031), and INR ≥ 10 (OR = 2.02; p = 0.025) were found to be independent risk factors for mortality. The cutoff value for INR in predicting bleeding was found to be >6.35 with 74.2% sensitivity and 72.7% specificity. The significant risk factors were determined in WOD development. INR level, autumn, and antiplatelet use were independently associated with bleeding due to WOD. In addition, bleeding, hypertension and INR levels were independently related to in-hospital-mortality due to WOD.

Evaluation of Radiology Information Systems including PACS at Two Tertiary Hospitals in India from User’s Perspective

Today there has been growing global emphasis on the need for Hospital Management Information Systems(HMIS). Plethora of studies have shown the benefits of implementing HMIS. The RIS is a subset of HISwhich is smaller in scale.Method: A comprehensive descriptive qualitative study was undertaken from April 2012 to December2012. The study setting involved two tertiary care public hospitals (main hospital and an associated hospital)located at different and distant locations in the same city. All the consultants in the department of radiology(11) were interviewed except one who was not available during the period of study and Conveniencesampling was used to select other Key Informants. A Structured questionnaire was used to evaluate variousaspects of RIS &amp; PACS from the end user’s perspective.Results: Overall performance of RIS at main hospital was rated as Satisfactory by 55 percent, neutral by 35percent and very satisfactory by another 10 percent of the respondents.Overall performance of RIS at associated hospital was rated as Dissatisfactory by 25 percent, neutral by 70percent and satisfactory by rest i.e., 5 percent.Discussion and Conclusion: The user feedback is very important for the success of Hospital ManagementInformation Systems, Radiology Information and PACS. The end user should be involved in the decision tointroduce technology at the hospital

TO REVİSE OR NOT TO REVİSE! THAT İS THE QUESTİON

OBJECTIVE: The aim of this study was to investigate the costs covered by the hospital during the inpatient treatment process of the patients who underwent hip revision arthroplasty surgery in orthopedics and traumatology clinics of a public hospital and compare with the invoiced amount.MATERIAL AND METHODS: The demographic information and revision reasons of 60 patients who underwent total hip revision arthroplasty operation in a public hospital between 01.01.2016 and 30.09.2017 were determined through Hospital Information Management System records. The patients were categorized under two groups including septic and aseptic. For each patient, the costs of medical consumables, medicine/serum, medical treatment, surgery, anesthesia, imaging services, laboratory procedures, blood and blood products, meal and companion costs, device depreciation expenses, consultation, control examination, preoperative patient preparation stage, surgery, visit and other costs were calculated separately during the inpatient treatment.RESULTS: The total cost of an average patient was 21,956.00 ₺, while the average amount of invoice was 17,220.00 ₺, with a difference of 4,736.00 ₺. This difference was found to be 9,876.00 ₺ in the septic group and 2.534,00 ₺ in the aseptic group. The bill payment made by the Social Security Institution (SGK) to the institution covers 78.4% of the cost of revision hip arthroplasty. In the septic group, the duration of hospital stay, medical expenditure, medication, treatment, surgery, anesthesia, laboratory, imaging, blood center, consultation, visit, meal cost, total cost and invoice amount were found to be significantly higher than the aseptic group (p&amp;lt; 0.05).CONCLUSIONS: Regulations by the Social Security Institution are needed to ensure the fiscal sustainability of public hospitals. In addition, following the medical and technical treatment protocols in revision surgery can help reduce the costs.

Analysis of Social Service Specialist Support in the Pediatric Emergency Department: A Single-center Descriptive Study

INTRODUCTION: Our main objective was to evaluate the demographic, epidemiological and clinical characteristics of patients aged 0-18 years who needed social service support in a pediatric emergency department. Our secondary aim was to remind the social service practices in emergency services and to describe the patient profile that frequently needed social service support. METHODS: Patients admitted to the pediatric emergency department between January 2010 and December 2018 were included in this descriptive and retrospective study. Age, gender, nationality, diagnosis at admission, consultations, reasons of social service consultation, problems determined by social service specialist and interventions were recorded via hospital information management system. RESULTS: Total number of patients consulted to social service during the study was 324. The mean age of the patient group was 11 ± 6 years, 206 (63.6%) were female, 118 (36.4%) were male; 283 (87.3%) were Turk, 41 (12.7%) were Syrian. The most common follow-up reasons were suicide with 133 patients (41%), trauma with 65 patients (20.1%), and substance abuse with 36 patients (11.1%). The most common social service consultation reason was suspected abuse-neglect (87.7%). As a result of social service evaluation, 116 (35.8%) had relationship problems, 73 (22.5%) had behavioral problems, 56 (17.3%) had abuse and/or neglect suspicion, 34 (10.5%) had either patient’s or family's adherence problem, 20 (6.2%) had environmental problems and 5 (1.5%) had legal problems. Only 20 patients (6.2%) had no problem. DISCUSSION AND CONCLUSION: In conclusion, social service support was needed the most for the patients who attempted suicide and consultation was requested the most due to suspicion of abuse and neglect. Thus, inclusion of social service specialists in pediatric emergency departments can play a key role in protection and safety of child health.

Should We Perform Laboratory and Radiographic Evaluations for All Children with COVID-19?: A Single-Center Experience

Abstract Background The diagnostic and treatment strategies for children are limited because of the small number of children with COVID-19. A large proportion of infected children are asymptomatic or have mild symptoms. We report our experience regarding clinical characteristics, laboratory, radiologic findings, and outcomes of children with COVID-19. Materials and Methods This retrospective single-center study was conducted on children with COVID-19. The data on epidemiologic characteristics, clinical features, laboratory, and radiologic findings of patients were extracted from the hospital information management system records, and patients' forms filled upon admission. Results The median age of children was 121 months, 46.8% of the patients were females and 53.2% were males. Of the 581 children assessed, a total of 222 (38.2%) had positive test results; 69 of them (31.1%) were asymptomatic. The median absolute lymphocyte and eosinophil counts were statistically significantly lower in symptomatic children (p = 0.001; p = 0.02). Neutrophil lymphocyte ratio was statistically significantly higher in the symptomatic children (p = 0.001). Of 72 computed tomography scans, 35 (48.6%) were normal, and only 29 (40%) were consistent with classic/probable/indeterminate COVID-19 predominant pattern. Conclusion Our results showed a few laboratory abnormalities in asymptomatic polymerase chain reaction positive children; therefore, unnecessary investigation might be avoided and clinicians should consider clinical symptoms.

Determination of Initial Centers in K-Means Clustering Method by NAMGY Algorithm

Objective: With the development and widespread use of technology, the increasing volume of data in many areas has accelerated the digitization process. The gains obtained by processing and interpreting data stacks can make significant contributions to institutions and organizations in many managerial issues from production to decision making processes. It has increased the use of data mining methods in different areas, which support the process of transforming digitalized large scale data into information. One of the increasingly popular techniques in data mining is clustering, and the K means algorithm is a non hierarchical clustering method compatible with large amount of data. This method is widely used in the scientific studies, however the number of clusters and initial centers defined as parameters comes up a disadvantage for the algorithm, especially for those not familiar with the mathematical specificities. Initial centers those generated randomly by K means usually make the clustering results reaching non optimal. K means algorithm is very sensitive in initial centers. More consistent results of K means clustering can be achieved after computing more than one times. However, it is difficult to decide the computation limit, which can give the optimal result. An improvement of K means algorithm with this respect will be a contribution on overcoming this disadvantage for scientific studies. In order to solve this problem; NAMGY (Neighborhood and Midpoint Gain Yield) algorithm has been developed, which includes methods that provide optimal selection of parameters according to the properties of objects. This article covers the application of the method of determining the initial centers in NAMGY algorithm. Method: In order to analyze the accuracy of our proposed method, both the standard K means and NAMGY algorithm were applied on the classified data set those Iris, Yeast and Segment challenge. And also the performances of the algorithms in terms of the working principle were evaluated on the VitaminB12 data set obtained from the Cukurova University Balcalı Hospital Information Management System. Euclidean distances were calculated between objects and data sets were transformed into values in the range [0, 1] using normalization. Adjusted Rand index was used to evaluate the validity of clusterings. Results: According to the examined results; the applications that reveal the effects of the initial centers on the analysis process of the algorithms have been carried out with different approaches such as the working principle of the algorithm, the effect of the initial centers on the clustering results, the evaluation of the clustering performance. It was again concluded that professional selection of parameters is requirement to increase the usability of a clustering algorithm and the reliability of clustering results. The NAMGY algorithm uses a systematic way to find initial centers which reduces the number of dataset scans and will produce better accuracy in smaller number of iteration. NAMGY algorithm has proved to be better than traditional K means algorithm in terms of good quality results and analysis processes. According to the results generated; NAMGY provides a challenging algorithm for the disadvantage of the standard K mean algorithm. However further research is required to verify the capability of this algorithm when applied to data sets with more complex objects. Keywords: Clustering, K means, Initial center, Data mining DOI: 10.7176/JSTR/7-01-05

Covid-19 Şüphesi İle Başvuran Hastalardan Pcr Alınanların Demografik Ve Klinik Özellikleri: Eğitim Ve Araştırma Hastanesi Örneği

Aim: In the city of Wuhan, in Hubei Province of China, patients with pneumonia with unknown causes were seen on December 12th, 2019, and the disease, COVID-19, was announced to the whole world on December 31st, 2019. On March 11th, 2020, the World Health Organization declared that this epidemic was now a pandemic. COVID-19 remains a public health problem that is threatening the whole world. The aim of this study was to determine the demographic data and clinical features of patients who were suspected of having COVID-19 and tested by polymerase chain reaction (PCR). Methods: This research covers patients who were admitted to our hospital with suspicion of COVID-19 between 13 March and 04 May 2020 and PCR samples were taken. The data to be used in the study were obtained retrospectively from the hospital information management system (HBYS) and Public Health Management System (HSYS). Permission was obtained from the ethics committee of the Health Research University Antalya Training and Research Hospital on 3.06.2020 (Decision no: 7/12). The research is planned as retrospective, cross-sectional and descriptive. Sociodemographic features, laboratory and imaging findings, clinical symptoms and course were examined using the SPSS 20.0 program. Results: Between March 13th and May 4th, 2020, PCR samples were taken from 2651 patients (55.45% male, 45.55% female) who applied to the Antalya Training and Research Hospital. The test positivity rate of the patients who were admitted was determined as 3.04%. The majority of the patients were adults and the mean age was 40 ± 18.19. Of the examined patient PCR samples, 2.9% were found to be positive. It was determined that the distribution of positive cases was similar in the females and males. Pulmonary tomography of 67.6% of the patients revealed a finding consistent with COVID-19 pneumonia, and 41.6% of the patients had bilateral lung involvement. The most common symptoms on admission included fever, cough, and muscle and joint pain. In the laboratory results of the PCR-positive patients, most of the leukocyte, hemoglobin, platelet, neutrophil/lymphocyte ratio, D-dimer, and ferritin levels were found to be normal. Conclusion: During the COVID-19 epidemic, it was revealed that older patients with chronic diseases and male patients were more susceptible. The establishment of emergency action plans in hospitals will be helpful by making evaluations for people in this risk group in order to carry out necessary studies against the second wave of COVID-19 or different pandemic situations that may occur.

Evaluation of cardiac parameters between survivors and nonsurvivors of COVID-19 patients.

The present study compares the cardiac parameters of the survivor and nonsurvivor patients with COVID-19 infection. This study was conducted in 379 patients diagnosed with COVID-19 disease. Information of 21 nonsurvivor and 358 survivor patients with COVID-19 was obtained from the hospital information management system and analyzed retrospectively. Relationship between cardiac parameters in patients categorized into the mortal and immortal groups was investigated. Of the total 379 patients involved in this study, 155 (40.9%) were females and 224 (59.1%) were males. No statistically significant difference in mortality was found between females and males (p=0.249). The total median age was 70, the median age in the nonsurvivor group was 74 (35-89), and it was 69.5 (18-96) in the survivor group (p=0.249). The median values of high-sensitivity troponin (hs-Tn), creatine kinase MB form, and especially myoglobin in the survivor and nonsurvivor groups were 25/64.9 (p=0.028), 18/23 (p=0.02), and 105.5/322.4 (p<0.001), and the difference was statistically significant. Comparing mortality, while there was 1 (0.7%) nonsurvivor out of 134 patients in the service unit, there were 20 (8.2%) nonsurvivors out of 245 patients in the intensive care unit. This difference was statistically significant (p=0.003). The cutoff value of myoglobin, which may pose a risk of mortality, was found to be 191.4 µg/L, while it was 45.7 ng/l for hs-Tn and 60.1 U/L for creatine kinase MB. Advanced age and increased levels of high-sensitivity troponin, creatine kinase MB, and myoglobin were found to be associated with mortality.

The acceptance level of Hospital Information Management System (HIMS) among the nursing officials working in a teaching hospital.

BACKGROUND:The acceptability of hospital staff in the use of hospital information management system (HIMS) is an emerging research area it can explain the fate of any HIMS development and implementation project in hospitals. The aim of this study was to observe the level of acceptance of HMIS among nursing officials working at a teaching hospital.MATERIALS AND METHODS:This cross-sectional study was conducted for 1 year in a teaching hospital of northern India by using a pretested questionnaire. Our study participants were nursing officers who were not under the probation period and we used a purposive sampling (10% nurses from each ward). Our sample size was 256.RESULTS:We have observed that majority of 174 (67.96%) participants had good acceptability to the HIMS system. Our study revealed that most of the participants were aware of HIMS. Among all participants, nearly half of them had good acceptability to the HIMS system. This is may be due to their job profiles, distribution of their working places, and their past experiences with HMIS. The bottlenecks such as connectivity problem, error prevention, and lack of training can be addressed by the hospital management by proper measures.CONCLUSION:The acceptance level of HIMS among the nursing officials working in a teaching hospital was good.

Evaluation of coagulation parameters: Coronavirus disease 2019 (COVID-19) between survivors and nonsurvivors

This study aims to investigate and compare the coagulation parameters of coronavirus disease 2019 (COVID-19) patients with mortal and nonmortal conditions.In this study, 511 patients diagnosed with COVID-19 were included. Information about 31 deceased and 480 recovered COVID-19 patients was obtained from the hospital information management system and analyzed retrospectively. Whether there was a correlation between coagulation parameters between the mortal and nonmortal patients was analyzed. Descriptive analyses on general characteristics of the study population were performed. Visual (probability plots and histograms) and analytical methods (Kolmogorov-Smirnov and Shapiro-Wilk test) were used to test the normal distribution. Analyses were performed using the SPSS statistical software package.Out of 511 patients, 219 (42.9%) were females and 292 (57.1%) were males. There was no statistically significant difference between males and females in terms of mortality (p=0.521). In total, the median age was 67 (22). The median age was 74 (13) in the nonsurvivor group and 67 (22) in the survivor group, and the difference was statistically significant (p=0.007). The D-dimer, prothrombin time, international normalized ratio, neutrophil, and lymphocyte median age values with p-values, in the recovered and deceased patient groups were: 1070 (2129), 1990 (7513) μg FEU/L, p=0.005; 12.6 (2.10), 13.3 (2.1), p=0.014; 1.17 (0.21), 1.22 (0.19), p=0.028; 5.51 (6.15), 8.54 (7.05), p=0.001; and 0.99 (0.96), 0.64 (0.84), p=0.037, respectively, with statistically significant differences.As a result of this study, D-dimer, prothrombin time, and international normalized ratio increase were found to be associated with mortality. These parameters need to be closely monitored during the patient follow-up.